Abstract
The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on (Formula presented.), (Formula presented.), and (Formula presented.). Hence, it is vital to understand and determine the Al-Mg-Si alloy’s flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli–Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the (Formula presented.) range of 10−3 to 1 s−1 and (Formula presented.) range of 400–550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models’ reliability for determining this alloy’s flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between (Formula presented.) and (Formula presented.) on the one hand and between (Formula presented.), (Formula presented.), and (Formula presented.) on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2‐MJC model.
| Original language | English |
|---|---|
| Article number | 1121 |
| Journal | Materials |
| Volume | 18 |
| Issue number | 5 |
| DOIs | |
| State | Published - Mar 2025 |
Keywords
- Crystal Plasticity modeling
- deformation behavior
- elevated temperatures
- phenomenological models
- physical models
- strain rate
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